Stars
A collection of modern/faster/saner alternatives to common unix commands.
A scikit-learn compatible neural network library that wraps PyTorch
Automated Machine Learning with scikit-learn
A bestiary of evolutionary, swarm and other metaphor-based algorithms
A markup-based typesetting system that is powerful and easy to learn.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and …
Application for managing recipes, planning meals, building shopping lists and much much more!
Probabilistic type inference
An (in-progress) AutoML survey focusing on practical systems.
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Marks issues and pull requests that have not had recent interaction
Automatic architecture search and hyperparameter optimization for PyTorch
Extra blocks for scikit-learn pipelines.
Collection of hyperparameter optimization benchmark problems
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
Sphinx extension for automatic generation of an example gallery
Bayesian optimization in PyTorch
A collection of Java libraries for basic AI algorithms (JAICore) and automated software composition, in particular AutoML (softwareconfiguration)
Experimental Gradient Boosting Machines in Python with numba.